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Data Visualization Analyst Jobs in Tennessee (NOW HIRING)

Data Analysis Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Data Analysis Tutor

Kingsport, TN · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Data Engineer

Brentwood, TN

$108K - $130K/yr

Python programming skills for data manipulation, automation, and analytics * Power BI expertise including dashboard development, DAX, and data visualization best practices * Azure cloud platform ...

Activity includes defining data requirements, data collection, processing, cleaning, analysis, modeling, and visualization. * Identify areas to increase efficiency and automation of data analysis ...

Activity includes defining data requirements, data collection, processing, cleaning, analysis, modeling, and visualization. * Identify areas to increase efficiency and automation of data analysis ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Data Analyst Location: Franklin, TN; Brentwood, TN; Nashville, TN Employment Type: Contract Pay ... and visualization tools. * Detect anomalies and flag potential operational risks based on ...

Perform advanced analytics on contractor spend, workforce trends, and operational metrics. * Deliver insights that influence executive-level decisions. Data Visualization & Reporting: * Develop and ...

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Data Visualization Analyst information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do data visualization analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data visualization analyst in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 per year, depending on experience, location, and employer.

What is a Data Visualization Analyst job?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

What are the key skills and qualifications needed to thrive in the Data Visualization Analyst position, and why are they important?

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the typical daily responsibilities of a Data Visualization Analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.

What are the most commonly searched types of Data Visualization Analyst jobs in Tennessee? The most popular types of Data Visualization Analyst jobs in Tennessee are:
What job categories do people searching Data Visualization Analyst jobs in Tennessee look for? The top searched job categories for Data Visualization Analyst jobs in Tennessee are:
Infographic showing various Data Visualization Analyst job openings in Tennessee as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 6% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.
data scientist, Data & Analytics (Nashville, TN)

data scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Posted 8 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,596 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

Job Summary:
Starbucks is a company known for developing extraordinary leaders who are guided by their service to others. As a Data Scientist, you will support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models to create insights and deliver decision-ready outputs.
Responsibilities:
• Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
• Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
• Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.
Qualifications:
Required:
• 1+ year of experience in data science, applied analytics, or related work
• BA/BS or equivalent experience
• Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
• Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
• Strong communication skills and attention to detail
Preferred:
• Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
• Advanced degree (MS or PhD) preferred.
• Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
• Experience supporting model measurement/monitoring through dashboards and performance reporting
Company:
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items. Founded in 1971, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

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